Research Reports 2022
Amundaray, N., Keating, S., Eaid, M., and Innanen, K. A., 2022, Well-log parameterized full waveform inversion 1: analysis of the single parameter case: CREWES Research Report, 34, 1, 10.
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Amundaray, N., Keating, S., Eaid, M., and Innanen, K. A., 2022, Well-log parameterized full waveform inversion 2: formulation of the two parameter case: CREWES Research Report, 34, 2, 12.
Bertram, K. L., Innanen, K. A., Hall, K. W., Bertram, M. B., Reid, S., and Chan, W., 2022, Field school 2022, exposing the geoscientists of tomorrow to field acquisition methods: CREWES Research Report, 34, 3.
Bertram, K. L., and Wong, J., 2022, Upgrading the physical modelling lab with a new tank: CREWES Research Report, 34, 4, 16.
Cai, X., Innanen, K. A., Hu, Q., Eaid, M., Keating, S., Hall, K. W., and Lawton, D. C., 2022, VSP imaging of CO2 injection with rapid-repeat time lapse full waveform inversion: CREWES Research Report, 34, 5, 15.
Cai, X., Innanen, K. A., Zhang, T., Hall, K. W., and Eaid, M., 2022, Analysis of the FWI workflow for geophone and DAS data from the 2018 CaMI VSP survey: CREWES Research Report, 34, 6, 10.
Chen, H., Han, J., and Innanen, K. A., 2022, Azimuthal seismic inversion for fracture weaknesses based on facies constraint: CREWES Research Report, 34, 7, 12.
Chen, H., and Innanen, K. A., 2022, Inversion for reservoir parameters using first- and second-order derivatives of elastic impedance: CREWES Research Report, 34, 8, 12.
Emery, D. J., Guarido, M., and Trad, D. O., 2022, Machine Learning Mineralogy Classification Comparison to Empirical Log Relationship and Implication for Physics Informed Modeling: CREWES Research Report, 34, 9, 24.
Fontes, P. H. L., Trad, D. O., and Sanchez, I., 2022, The use of U-Net and Radon transforms for multiple attenuation: CREWES Research Report, 34, 10, 21.
Fu, X., and Innanen, K. A., 2022, A robust source-independent full-waveform inversion: CREWES Research Report, 34, 11, 19.
Fu, X., and Innanen, K. A., 2022, Time-lapse full-waveform inversion for cases with seawater or near-surface velocity changes: CREWES Research Report, 34, 12, 19.
Fu, X., and Innanen, K. A., 2022, Time-lapse full-waveform inversion for ocean-bottom node seismic data with seawater velocity changes: CREWES Research Report, 34, 13, 14.
Fu, X., Innanen, K. A., Keating, S., and Hu, Q., 2022, Nonrepeatability effects on time-lapse elastic full-waveform inversion for VSP seismic data: CREWES Research Report, 34, 14, 15.
Guarido, M., Emery, D. J., and Innanen, K. A., 2022, Using natural language processing to convert mud-log chip descriptions to usable data tables: CREWES Research Report, 34, 15, 14.
Guarido, M., Emery, D. J., Trad, D. O., and Innanen, K. A., 2022, Oil spills identification on satellite radar data using deep learning: CREWES Research Report, 34, 16, 5.
Hall, K. W., and Innanen, K. A., 2022, Cvictus VSP: CREWES Research Report, 34, 17, 8.
Hall, K. W., Innanen, K. A., and Lawton, D. C., 2022, Multi-azimuth and offset directional strain tensor results recorded on an experimental directional sensor.: CREWES Research Report, 34, 18, 8.
Hall, K. W., Innanen, K. A., and Lawton, D. C., 2022, The croissant: a smaller, fluffier, flakier pretzel: CREWES Research Report, 34, 19, 9.
Henley, D. C., 2022, Shadow imaging: attenuation projection of acoustic waves from a circular array without arrival picking: CREWES Research Report, 34, 20, 17.
Hess, S., Innanen, K. A., Shor, R., and Vetsak, A., 2022, A Novel Data Science Approach to Borehole Dysfunction Analysis: CREWES Research Report, 34, 21, 7.
Hu, Q., Eaid, M., Keating, S., and Innanen, K. A., 2022, Quantitative FWI characterization and monitoring of reservoir properties at the CMC Newell County Facility: CREWES Research Report, 34, 22, 10.
Hu, Q., and Innanen, K. A., 2022, Bayesian approaches to estimating rock physics properties from seismic attributes: CREWES Research Report, 34, 23, 11.
Hu, Q., and Innanen, K. A., 2022, Time-lapse FWI prediction of CO2 saturation and pore pressure: CREWES Research Report, 34, 24, 12.
Huang, S., and Trad, D. O., 2022, Discrete wavelet transform application in a CNN-based reverse time migration with multiple energy: CREWES Research Report, 34, 25, 26.
Huang, S., and Trad, D. O., 2022, Time-lapse monitoring using neural networks: CREWES Research Report, 34, 26, 17.
Innanen, K. A., 2022, Review of the linear algebra of quantum mechanics: CREWES Research Report, 34, 27, 22.
Innanen, K. A., Guarido, M., and Trad, D. O., 2022, Comparing two basic approaches to decorrelation transforms: CREWES Research Report, 34, 28, 8.
Innanen, K. A., Hall, K. W., and Lawton, D. C., 2022, A time-lapse multi-offset, multi-azimuth VSP acquired as a candidate for low-cost monitoring of CO2 injection and storage: CREWES Research Report, 34, 29, 10.
Keating, S., and Innanen, K. A., 2022, Preliminary FWI results from Snowflake II: CREWES Research Report, 34, 30, 4.
Keating, S., and Innanen, K. A., 2022, Targeted nullspace shuttling in time-lapse FWI: CREWES Research Report, 34, 31, 12.
Keating, S., and Innanen, K. A., 2022, User guide for the CREWES frequency domain FWI codes: CREWES Research Report, 34, 32, 7.
Keating, S., Innanen, K. A., and Wong, J., 2022, Cross-gradient regularization for multiparameter FWI of physically modeled data: CREWES Research Report, 34, 33, 13.
Lawton, D. C., Kolkman-Quinn, B., Macquet, M., and Innanen, K. A., 2022, Monitoring geological carbon storage: detection threshold at the CaMI Newell County Facility and a look ahead at a sparse monitoring approach for gigatonne scale storage: CREWES Research Report, 34, 34, 11.
Li, J. L., Keating, S., Innanen, K. A., and Shor, R., 2022, Simultaneous waveform inversion of SWD data for P-wave velocity, density, and source parameters: CREWES Research Report, 34, 35, 33.
Li, J. L., Keating, S., Trad, D. O., and Innanen, K. A., 2022, Instruction for C++ package of visco-elastic multiparameter FWI in the frequency domain: CREWES Research Report, 34, 36, 19.
Li, J., and Trad, D. O., 2022, Robust reconstruction via Group Sparsity with Radon Operators: CREWES Research Report, 34, 37, 16.
Liu, H., Fu, X., Trad, D. O., and Innanen, K. A., 2022, Time-lapse full-waveform inversion using simultaneous sources: CREWES Research Report, 34, 38, 12.
Lume, M., Keating, S., and Innanen, K. A., 2022, Towards improving crosstalk suppression in multiparameter FWI by decorrelating parameter classes: CREWES Research Report, 34, 39, 13.
Lume, M., Sanchez, I., and Innanen, K. A., 2022, Empirical radiation patterns as a method to assess crosstalk under scenarios of heterogeneous reference media: CREWES Research Report, 34, 40, 11.
Mardani, R., and Trad, D. O., 2022, Handling imbalanced datasets for machine learning with feature extraction and sampling techniques: CREWES Research Report, 34, 41, 14.
Monsegny, J. E., Trad, D. O., and Lawton, D. C., 2022, A quantum algorithm for traveltime tomography: CREWES Research Report, 34, 42, 23.
Qu, L., Keating, S., Liu, H., Fu, X., and Innanen, K. A., 2022, Incorporating estimates of data covariance in elastic FWI to combat noise based on auto-regressive process: CREWES Research Report, 34, 43, 9.
Qu, L., Pan, W., and Innanen, K. A., 2022, A 2D full-waveform inversion using trench-deployed surfaceand VSP DAS data from CaMI FRS: CREWES Research Report, 34, 44, 14.
Reid, S., and Lauer, R., 2022, Poroelastic modeling of soap hole formation: CREWES Research Report, 34, 45, 17.
Russell, B. H., 2022, The dual representation and its application to seismic reservoir analysis: CREWES Research Report, 34, 46, 31.
Sanchez, I., Agudelo, W. M., Trad, D. O., and Sierra, D., 2022, Polarization filter based on linear Radon transform to extract surface waves in 3C seismic data: CREWES Research Report, 34, 47, 10.
Sanchez, I., Trad, D. O., Agudelo, W. M., and Sierra, D., 2022, Attenuation surface noise with autoencoders: CREWES Research Report, 34, 48, 11.
Su, Z., and Trad, D. O., 2022, Common image gathers from blended data: CREWES Research Report, 34, 49, 12.
Trad, D. O., 2022, Combining classical processing with Deep Learning: CREWES Research Report, 34, 50, 23.
Wang, J., and Innanen, K. A., 2022, Enhanced reverse time migration of walkaway VSP Data: CREWES Research Report, 34, 51, 13.
Wang, Y., and Lawton, D. C., 2022, Acoustic and exact elastic impedance variations during CO2 injection at the CaMI.FRS: CREWES Research Report, 34, 52, 1.
Wang, Y., and Lawton, D. C., 2022, Time-lapse attenuation-attribute variations during CO2 injection using DAS VSP data from the CaMI.FRS: CREWES Research Report, 34, 53, 13.
Wong, J., and Hall, K. W., 2022, Back-projection imaging of physically-modelled seismic data: CREWES Research Report, 34, 54, 9.
Zhang, T., Keating, S., and Innanen, K. A., 2022, Elastic full waveform inversion results uncertainty analysis: a comparison between the model uncertainty given by machine learning methods and conventional FWI: CREWES Research Report, 34, 55, 14.
Zhang, T., Trad, D. O., and Innanen, K. A., 2022, Auto-adjoint elastic FWI: a time domain elastic full waveform inversion accelerated by CUDA with automatic adjoint-source calculation using various kinds of objective functions: CREWES Research Report, 34, 56, 20.
Zhuang, K., and Trad, D. O., 2022, Application of GPU parallelization for non-uniform Fourier interpolation: CREWES Research Report, 34, 57, 9.